
Principal AI Consultant
Manningglobal · Haag, Utrecht, Netherlands · Hybrid
Mixed hiring record · median 48 days open
Hiring signal
Actively hiring
Posted 4 days ago · still listed on the employer's own board · How we score
All reasons
- 39% of this employer's openings are over 60 days old
In its favour
- Posted 4 days ago
- Still listed on the employer's own board
Manning Global, an Internationally renowned staffing and managed services organization specializing in providing staffing solutions for leading corporations in AI, IT & Telecoms, Engineering, Digital Media, Automotive and Renewable Energy is recruiting for Principal AI Consultant on behalf of one of their blue-chip international clients to join their organization in Netherlands.
Job Title
Principal AI Consultant
Employment
Full time
Start Date
12/2026
Country
Netherlands, Haag - Model
Hybrid
Salary range
90,000 - 120,000 EUR, dependent upon experience
Contact
Bojan on
+49 (0) 89 23 88 98 671
Domain
AI Adoption, Business Analysis & Continuous Improvement
Role Purpose
- The Principal Consultant leads adoption, impact measurement, business analysis, and continuous improvement for AI and agentic AI initiatives.
- The role connects business users with product and technical teams, converting data, feedback, and business needs into prioritised improvements, functional designs, and measurable outcomes.
Key Responsibilities
- Adoption and Change Enablement
- Lead adoption and rollout planning for assigned functions, products, or transformation workstreams.
- Align rollout activities with business users, process owners, change teams, and technical stakeholders.
- Collect structured user feedback, assess readiness, and translate adoption barriers into interventions and actions.
- Facilitate workshops, communications, learning activities, and stakeholder forums that support confident use of AI-enabled processes.
Impact Measurement and Business Analysis
- Define and execute impact-measurement approaches covering adoption, operational performance, business outcomes, and user experience.
- Perform deep-dive analysis, formulate and test hypotheses, and identify the drivers behind performance or adoption gaps.
- Translate findings into clear, data-driven recommendations and decision materials for business and program leaders.
- Track whether implemented changes deliver the expected improvement and identify follow-on opportunities.
- Continuous Improvement and Release Shaping
- Proactively identify improvement opportunities through user feedback, process observation, and performance analysis.
- Translate findings into well-structured improvement tickets, acceptance criteria, functional requirements, and prioritized backlogs.
- Align scope, dependencies, feasibility, and timelines with business and technical stakeholders.
- Structure business needs for new releases, assess opportunities by business value, and contribute to business cases and functional designs.
Consulting Delivery and Team Leadership
- Act as the bridge between business users, product owners, data/AI specialists, and engineering teams.
- Lead work streams, manage deliverables and risks, and provide transparent progress reporting through governance forums.
- Guide analysts and consultants in structured problem solving, analysis, requirements definition, and stakeholder engagement.
- Contribute methods, tools, templates, and insights to strengthen the wider AI transformation practice.
Experience/Qualifications
Required Skills & Capabilities
- Strong business analysis, data interpretation, and hypothesis-driven problem solving.
- Adoption and change management, stakeholder engagement, and structured rollout planning.
- Business-technology translation, requirements definition, functional design, and backlog prioritisation.
- Sufficient understanding of agentic AI, generative AI, analytics, automation, and solution-delivery life cycles to define feasible improvements.
- Business-case and value thinking, including KPI definition and benefits tracking.
- Workshop facilitation, executive-ready communication, and collaborative decision-making.
- Root-cause analysis, continuous improvement, and disciplined delivery management.
- Ability to work across business, product, data, technology, and change teams.
Experience & Qualifications
- Typically 12+ years in consulting, business transformation, data and AI, analytics, product improvement, or digital change roles.
- Demonstrated experience leading adoption, business-analysis, or continuous-improvement work streams.
- Experience translating business needs and analytical findings into functional requirements, prioritised improvements, or release designs.
- Track record of working effectively with senior business stakeholders and multidisciplinary technical teams.
- Bachelor’s or master’s degree in business, technology, engineering, mathematics, data/analytics, or a related discipline.
Measures of Success
- Adoption readiness, active use, and stakeholder engagement across assigned scope.
- Clear evidence of business and operational impact from deployed capabilities.
- Quality, prioritization, and delivery readiness of improvement tickets and release requirements.
- Speed and effectiveness of issue resolution and continuous improvement.
- Stakeholder confidence in analysis, recommendations, delivery transparency, and business-technology alignment.
Role Context
- This role operates at the intersection of business transformation, adoption, analytics, and AI-enabled product evolution. It brings together the core capabilities reflected in the Impact and Adoption Lead, Technical Integrator, New Releases, and Business Analyst roles, calibrated to the seniority and accountability of this position
Skills
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